BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20261013T104709Z
UID:CD7CF415-4B44-4E54-928A-D972A4CCD692
DTSTART;TZID=Asia/Kolkata:20261014T183000
DTEND;TZID=Asia/Kolkata:20261014T195000
DESCRIPTION:The IEEE Student Branch of R.M.K. Engineering College and the I
 EEE Antennas and Propagation Society\, organizes this technical webinar fe
 aturing Prof. Davide Maltoni\, Full Professor\, Department of Computer Sci
 ence and Engineering\, University of Bologna\, Italy\, and Vice Director o
 f the Research Institute for Human-Centered Artificial Intelligence.\n\nTh
 e session will offer valuable insights into mechanistic explainability in 
 Large Language Models (LLMs)\, exploring how AI models perform arithmetic 
 and logical reasoning internally and highlighting the importance of interp
 retability\, reliability\, and trustworthiness in artificial intelligence.
 \n\nResource Person: Prof. Davide Maltoni\nDate: 14 October 2026\nTime: 6:
 30 PM IST\nOrganized by: IEEE Student Branch \, IEEE Antennas and Propagat
 ion Society\, R.M.K. Engineering College.\n\nVirtual: https://events.vtool
 s.ieee.org/m/584876
LOCATION:Virtual: https://events.vtools.ieee.org/m/584876
ORGANIZER:senthilramy2025@gmail.com
SEQUENCE:40
SUMMARY:IEEE WEBINAR - Toward Mechanistic Explainability of Arithmetic and 
 Logic Tasks in LLM
URL;VALUE=URI:https://events.vtools.ieee.org/m/584876
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;isSelectedEnd&quot;&gt;The IEEE Student Bra
 nch of R.M.K. Engineering College and the IEEE Antennas and Propagation So
 ciety\, organizes this technical webinar featuring Prof. Davide Maltoni\, 
 Full Professor\, Department of Computer Science and Engineering\, Universi
 ty of Bologna\, Italy\, and Vice Director of the Research Institute for Hu
 man-Centered Artificial Intelligence.&lt;/p&gt;\n&lt;p class=&quot;isSelectedEnd&quot;&gt;The se
 ssion will offer valuable insights into mechanistic explainability in Larg
 e Language Models (LLMs)\, exploring how AI models perform arithmetic and 
 logical reasoning internally and highlighting the importance of interpreta
 bility\, reliability\, and trustworthiness in artificial intelligence.&lt;/p&gt;
 \n&lt;p&gt;&lt;strong&gt;Resource Person:&lt;/strong&gt; Prof. Davide Maltoni&lt;br&gt;&lt;strong&gt;Dat
 e:&lt;/strong&gt; 14 October 2026&lt;br&gt;&lt;strong&gt;Time:&lt;/strong&gt; 6:30 PM IST&lt;br&gt;&lt;stro
 ng&gt;Organized by:&lt;/strong&gt; IEEE Student Branch \, IEEE Antennas and Propaga
 tion Society\, R.M.K. Engineering College.&lt;/p&gt;
END:VEVENT
END:VCALENDAR